Focused on their day-to-day operations, industrial SMEs often perceive the transition to the 4.0 paradigm as distant, although it is more accessible than they assume

Spanish SMEs, especially in the industrial sector, have low digitalization penetration and need to invest in technology and change their culture to maintain competitiveness. The Digitalization Boost Plan for SMEs 2021-2025 and European Union funds for digital transformation aim to encourage the adoption of new technologies. SMEs often have a distant perception of Industry 4.0 and make mistakes by thinking it only involves having a website and storing data in the cloud. To unlock the true potential of Industry 4.0, SMEs need a comprehensive combination of technologies and a holistic vision, supported by technology partners and data experts.

The Evolution of Voice Recognition Takes Smart Homes to the Next Level

Voice recognition technologies are advancing in IoT devices, promising to transform the connected home. Since its inception in the 1950s, voice recognition has evolved, achieving notable accuracy by 2018 and accelerating due to the pandemic. By 2023, it is expected that there will be 8 billion digital voice assistants in use, driving a $31.82 billion market by 2025. These systems enable smart home automation beyond device management, incorporating emotion- and context-based interaction, and opening possibilities for new uses.

The Wine Industry Cheers for Digital Transformation Advances

hands holding and cutting grape from the plant. Woman with glove, straw hat harvesting black grapes at vineyard. Farmer holding pruning shears and picking grape.

The wine industry has growth potential in adopting digital technologies. IoT sensors, artificial intelligence, and blockchain are used to enhance production, traceability, and efficiency. Digitalization helps predict weather, optimize harvests, monitor soil quality, and streamline processes. The challenge is to include SMEs in this process to maintain competitiveness and wine quality.

Is Artificial Intelligence Really That Smart? The Dangers Hidden in AI

Artificial Intelligence (AI) exhibits biases that can be dangerous for society because machines learn from biased data. These biases can have significant social consequences, such as discrimination in hiring and incorrect labeling of images. However, AI is not inherently bad; rather, proper data selection and corrective measures are required to address these biases. It is crucial to have diverse teams in AI development and to work toward responsible AI by applying techniques like explainability and meta-learning.

Sensors and IoT: The Best Partners for Intelligent Water Management

Technological solutions based on data are emerging as crucial to addressing the growing water scarcity. The use of IoT devices enables smart management of water resources at domestic, governmental, and agricultural levels. This approach has led to increasing investment in the smart water management market, estimated at $53.6 billion by 2031, with applications ranging from leak detection and prevention to irrigation system automation and problem forecasting. The combination of sensors, data analysis, and IoT technologies offers an innovative and essential solution for tackling future water scarcity challenges.

Sensors and IoT Connectivity Hyper-Personalize the Cosmetics Industry

In the beauty industry, IoT devices are key players in driving change. They have the capability to collect hundreds of skin data points and transform them into real-time, tailored responses and treatments. Beyond simple active ingredients and product offerings designed to enhance appearance and well-being, recent advancements in technology are rapidly changing how brands offer… Continue reading Sensors and IoT Connectivity Hyper-Personalize the Cosmetics Industry